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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency.

DevOps 222
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

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Announcing bpftop: Streamlining eBPF performance optimization

The Netflix TechBlog

Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency. Introducing bpftop bpftop provides a dynamic real-time view of running eBPF programs. It displays the average execution runtime, events per second, and estimated total CPU % for each program.

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‘Security as code’ demands proactive DevSecOps

Dynatrace

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.

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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Such transformations can reduce storage costs by 99%.

Analytics 195
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Just-In-Time (JIT) Compilation: Advantages, Disadvantages, and Future Trends

DZone

Just-In-Time is a dynamic compilation technique that allows software programs to be compiled at runtime, optimizing performance and reducing startup times. It has enabled developers to write code that is both highly efficient and flexible, thanks to this innovative approach. How Does JIT Compilation Work?